AI Model is the heart of your AI application, but is it ready for the future?

Traditional testing often falls short, focusing solely on basic functionality and neglecting the critical areas that truly impact the AI Model’s success. Don’t let non-deterministic nature of AI Model impact your business’ determining ability. Introducing our comprehensive “AI Model Testing” service, designed to go beyond the ordinary and address the unique challenges posed by it.

The Nuances

AI Model testing can be challenging because of following factors,

Our Differentiators

Forget generic AI Model testing that misses the mark. Our service offers a comprehensive and differentiated approach that covers different testing methodologies and determining factors:

According to a 2022 Deloitte report, 79% of
AI leaders believe that establishing trust in
AI systems through rigorous testing and validation is a critical success factor.

Benefits

Independent and Objective Evaluation

Eliminates potential biases that might exist within an internal development team. Neutral and objective assessment of your AI model's performance across all measures – reliable evaluation that identifies true strengths and weaknesses.

Access to Specialized
Expertise

In-depth knowledge and experience in latest AI model testing tools, techniques, and methodologies – identify issues that generalists might miss.

Scalability and Cost Effectiveness

Scalable testing solutions tailored to the complexity of your model and data sets – deliver thorough testing without unnecessary expense.

Benchmarking and Industry Standards

Compare model’s performance against industry benchmarks and relevant standards, providing valuable insights into its competitiveness – helps in identifying areas for improvement to meets industry best practices.

Confidentiality and Intellectual Property Protection

Prioritize the security and confidentiality of your data and intellectual property – peace of mind knowing your proprietary data is protected.

Fresh Perspectives and Continuous Improvements

Bring a fresh and unbiased perspective to your AI model – leading to the discovery of potential hidden problems.

Our Approach

Understand the problem statement and set objectives.

Evaluate data applicability

Algorithm used vis-à-vis alternatives available / evaluated

Data Pipeline functioning

  • Model type and functioning
  • Hyperparameters and scoring
  • Evaluation parameters and scoring

Compliance and Ethical testing

Continuous monitoring and update

Engagement Models

Consulting
Services

• Understanding Problem Statement
• Data Analysis ( Gaps Capability, Feasibility)
• Forming Objectives
• Recommendations

AI Model Testing as a Service

• Customized Service Structure
• On Premise / Cloud Based Testing
• Custom Engagement Models
• Choice of Service Locations
• Trainings

Tools / Technology / Expertise

As no two models are the same, we tailor our approach to your unique needs. Our expertise in technology and domains provides an edge over generalists. Trust our established practices and robust metrics to deliver complete and robust AI Model evaluations. Partner with us for a AI driven future.

Customer Success

Automate with Intelligence Achieve Flawless Testing

In the ever-evolving landscape of software development, ensuring flawless testing is paramount. Kairos introduces KiTAP, your intelligent test automation partner. KiTAP empowers you to streamline your testing process, enhance accuracy, and accelerate delivery. Leverage AI-powered test case generation, self-healing capabilities, and powerful reporting tools to achieve exceptional software quality with unprecedented efficiency.

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As a global leader in car rental services, we were faced with the challenge of adapting to the rapid evolution of digital platforms. Our clientele demanded seamless user experiences, which meant our systems had to be agile and flawless. Traditional manual testing methods were no longer sufficient, leading to delays and increased costs due to the late detection of defects.

QA Head | Leading Car Rental Company

Embracing KiTAP’s intelligent automation, our client achieved a paradigm shift in their testing methodology, ensuring faster delivery without compromising on quality. The seamless integration with their existing DevOps framework facilitated by KiTAP resulted in a significant uplift in efficiency and test coverage, proving to be a game-changer in their digital transformation journey. Explore their transformative story with KiTAP at the helm of test automation excellence.

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We serve healthcare professionals in the most remote areas, ensuring that they can operate digitally with utmost efficiency and precision. Our primary challenge is to provide impeccable connectivity and uncompromising data quality, safeguarding sensitive healthcare information.

Richard Hines

Data Testing Manager, Providence Healthcare Services

Providence Healthcare Services employs the robust Data Testing Services of Kairos Technologies, safeguarding and validating critical data with unfailing accuracy and reliability across expansive healthcare communities. Dive into our journey of enhanced data integrity and security.

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As a stalwart in the banking sector, we were at a critical juncture of digital transformation, facing the dual challenges of heightened regulatory scrutiny and the expectation for seamless customer experiences. Striving for precision in our digital services, we grappled with complex legacy systems that impeded swift compliance updates and hindered the rollout of innovative customer features.

VP of Technology and Digital Solutions | A Growing Bank in the US

The client embarked on a digital journey marked by a strategic partnership with KiTAP. This alliance was forged from the bank’s commitment to upholding the highest standards in financial services and delivering a superior customer journey. KiTAP’s cutting-edge test automation emerged as the cornerstone, ensuring that every digital initiative launched was synonymous with trust, efficiency, and innovation.

Explore More From Kairos

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What is Smart Regression
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It uses intelligent ML algorithms to choose and prioritize test cases. This is based on the probability of finding defects.

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